A developer shares a three-model AI workflow combining Claude Pro (frontier reasoning and QA), Qwen 3-Coder 30B (iterative coding and debugging), and Gemma 4 24B (drafting, summarization, brainstorming) — all running through Ollama locally except Claude. The approach preserves Claude's monthly token allowance for high-value tasks while offloading routine work to free local models. Trade-offs include needing at least 16GB VRAM and managing context transfer between models via a running project brief.
Table of contents
What each model does in the workflowHow the three models work togetherThe setup does have its trade-offs1.3K Impressions